Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme

Simon Gill, Edward Barbour, I.A.Grant Wilson, David Infield

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

The connection of high penetrations of renewable generation such as wind to distribution networks requires new active management techniques. Curtailing distributed generation during periods of network congestion allows for a higher penetration of distributed wind to connect, however, it reduces the potential revenue from these wind turbines. Energy storage can be used to alleviate this and the store can also be used to carry out other tasks such as trading on an electricity spot market, a mode of operation known as arbitrage. The combination of available revenue streams is crucial in the financial viability of energy storage. This study presents a heuristic algorithm for the optimisation of revenue generated by an energy storage unit working with two revenue streams: generation-curtailment reduction and arbitrage. The algorithm is used to demonstrate the ability of storage to generate revenue and to reduce generation curtailment for two case study networks. Studies carried out include a single wind farm and multiple wind farms connected under a 'last-in-first-out' principle of access. The results clearly show that storage using both operating modes increases revenue over either mode individually. Moreover, energy storage is shown to be effective at reducing curtailment while increasing the utilisation of circuits linking the distribution and transmission networks. Finally, renewable subsidies are considered as a potential third revenue stream. It is interesting to note that under current market agreements such subsidies have the potential to perversely encourage the installation of inefficient storage technologies, because of increased losses facilitating greater "utilisation" of renewable generation.
LanguageEnglish
Pages421-430
Number of pages10
JournalIET Renewable Power Generation
Volume7
Issue number5
Publication statusPublished - Sep 2013

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Energy storage
Electric power distribution
Farms
Electric power transmission networks
Distributed power generation
Heuristic algorithms
Revenue
Wind turbines
Electricity
Networks (circuits)

Keywords

  • maximising revenue
  • non-firm distributed wind generation
  • energy storage
  • active management scheme

Cite this

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Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme. / Gill, Simon; Barbour, Edward; Wilson, I.A.Grant; Infield, David.

In: IET Renewable Power Generation, Vol. 7, No. 5, 09.2013, p. 421-430.

Research output: Contribution to journalArticle

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